In the previous blog, we learned why AI agents fail when workflows are weak, even if the agents themselves look powerful. In this blog, we go one step further and unpack a new confusion many teams face: why agents still struggle when they keep running for long periods.
How long should an AI agent run Read More »
Moonshot, a fast growing Chinese AI startup, recently introduced Kimi K2. It has created interest because of its long context window, natural reasoning style, and claims of competing with models like GPT 5 and Claude.
This blog gives a simple and honest review of what Kimi K2 does well, where it struggles, and what it means for users who rely on AI for real work.
Kimi K2 versus GPT and Claude (Honest review of China’s latest AI tool) Read More »
Every week, there’s a new promise that AI will handle entire workflows from automating emails to managing complete projects. The hype sounds great, but a new benchmark from Scale AI and the Center for AI Safety shows a different reality.
In the study, AI agents were tested on real freelance tasks like writing, research, data entry, and design. Out of nearly $144,000 worth of work, the top model earned only about $1,800 completing just 2 to 3 percent of jobs successfully.
This doesn’t mean AI is weak. It means organizations are skipping the most important part of AI success: workflow design.
The truth about AI automation nobody tells you Read More »
